Make the answer findable
Search policies, project files, and approved guidance from any region with source references.
Distributed teams / multi-country operations
Distributed teams share work, not the same office, time zone, or data path.
We deploy private workflows for teams across countries: shared internal knowledge, meeting follow-up, and permissioned access, with the data path and region decided for the records involved. Local rules and legal review stay with the company and advisers.
Shared knowledgeMeeting follow-upRegion decisionPermission groups
Pattern demonstration / same workflow, synthetic material
Fixed-scope setupClient-owned accountsDraft-and-review firstFull handover
Where distributed teams lose time
The answer is in one region. The question is in another.
Shared work gets slower when the current version, the right owner, and the right permission are not visible from every location.
Prepare async follow-up
Turn meetings and requests into decisions, owners, and dates the next shift can confirm.
Decide the data path
Choose the cloud region, provider, or local setup before records move between countries.
The distributed boundary
The system works across locations. It does not decide where data may go.
The path is disclosed
Storage, model access, and processing locations are agreed before sensitive records enter.
Permissions stay explicit
Teams, regions, matters, and projects can be separated so not everyone sees everything.
Local rules stay human
The workflow prepares material. Compliance, residency, and legal judgments stay with the company and advisers.
A first distributed workflow
Start with the knowledge the whole team needs.
Choose the shared question
Pick the policy, process, or project question that repeats across regions.
Map the data path
Decide which region, provider, and permission groups apply before anything is connected.
Test with real questions
Run questions from different locations and check citations, time zones, and unclear answers.
Hand over the route
Document the source map, owners, access groups, and the person responsible for each region.
A distributed team is faster when the answer, the owner, and the data path are visible from every location.
Why trust Pristine3D?
We build and operate production software.
Pristine3D Ltd builds and operates live digital products, and we run private AI workflows internally as part of our own operations. We scope around your real workflow: the documents you own, the questions your team asks, and the access boundary you approve. Based in Lagos, Nigeria, we work remotely with clients worldwide.
We already run live products
Based in Lagos, Nigeria, Pristine3D currently builds and operates smartcards.ng, venu.ng, photoshoot.ng, and ugc.ng in production.
We start with the actual workflow
One input, one output, one test set, and one person who owns the result. We scope a real workflow instead of a transformation programme.
The boundary stays visible
Cloud, model, storage, and messaging accounts stay in your name. The chosen data path, access rules, test record, documentation, and training are part of the agreed scope.
Pricing / fixed scope
Know the starting numbers before you ask.
The final quote follows the workflow. Infrastructure and model bills stay on your accounts.
One Workflow
Starting from$3,500 / ₦2.5m
2 to 3 weeksOne workflow for a small team, with training and handover.
See the one-workflow packageFirm-wide
Starting from$7,500 / ₦8m
4 to 6 weeksMultiple sources, roles, integrations, and admin handover.
See the deploymentAnnual support
Starting from$3,000 / ₦1.5m
per yearStandard care for one delivered workflow. Optional. Larger deployments and active monitoring are separately scoped.
See supportArchitecture review from $500. Standard annual support is $3,000 / ₦1.5m per year for one delivered workflow. New workflows, integrations, active monitoring, and infrastructure are separately scoped; infrastructure, model, storage, and messaging bills stay on client accounts. Full pricing and what changes the quote
Straight answers
Common questions.
Can records stay in one region?
Yes. The data path is decided before build. If local rules require a different region, that becomes part of the scope.
Can teams see different things?
Yes. Permission groups can separate teams, matters, regions, and projects.
How is this different from the remote-first page?
That page covers a remote operating model. This page covers multi-country work where data location, time zones, and permissions matter more.
Own your knowledge base
The model is not the product. The knowledge base is.
Documents, the retrieval index, access rules, and the workflows built around them are the asset, and they compound. We deploy so the knowledge base stays yours: on your accounts, in the environment you choose, under access rules your team defines. The model behind the answers is a connector, so the knowledge base moves with you, not with a vendor.
Your corpus, your index
The document store, metadata, and retrieval setup live on accounts you own. No vendor holds the corpus.
Models are swappable parts
Change the model provider, move regions, or go local without rebuilding the knowledge base or the workflow.
The knowledge base is the alpha
Every improvement to the corpus improves the answers, and the improvement stays with you, not with a vendor.
Keep exploring
Related setups.
Start with the shared question
Which answer does the whole team need?
Tell us the question, the regions involved, and the data constraints. We will scope a workflow around the path your team can defend.